[ad_1] Introduction: In recent years, there has been a growing interest in the development of Neuromorphic computing for robotic control due to its potential to revolutionize the field of robotics. Neuromorphic computing is a branch…
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[ad_1] Introduction: In today’s digital age, the management and protection of intellectual property (IP) have become increasingly complex and challenging. With the rise of digital assets and globalized markets, traditional methods of IP management are…
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[ad_1] Introduction In recent years, with the advancement of technology and the increasing amount of data being generated, privacy has become a major concern in the field of machine learning. As machine learning models are…
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[ad_1] Introduction In recent years, electronic voting (e-voting) has gained popularity as a means to conduct secure and efficient elections. However, concerns about the security and integrity of e-voting systems have also been raised. One…
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[ad_1] Introduction Chapter 1: Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis…
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[ad_1] **Introduction** Deep learning models have achieved remarkable success in various natural language processing tasks, including natural language inference (NLI). NLI, also known as textual entailment, aims to determine the logical relationship between a premise…
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[ad_1] Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) are cryptographic protocols that allow one party to prove to another party that they have knowledge of a certain statement without revealing any information about the…
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[ad_1] Introduction The emergence of blockchain technology has revolutionized various industries, introducing new possibilities for secure and decentralized systems. One of the promising applications of blockchain is in identity management, where individuals have control over…
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[ad_1] Introduction Interpretable machine learning has become increasingly important in the field of fraud detection as organizations seek to understand the decisions made by automated systems and comply with regulations such as GDPR. The ability…
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[ad_1] Introduction Quantum machine learning is a rapidly growing field that aims to combine the power of quantum computing with machine learning algorithms to solve complex problems in various domains. However, quantum computers are highly…
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